Andrew P. Longstaff

University of Huddersfield

Papers

3

Total Citations

14

H-Index

2

About

Andrew P. Longstaff is a researcher focused on advancing precision robotics and automated manufacturing systems. His work centers on improving the accuracy, efficiency, and sustainability of robotic machinery, particularly in high-performance and industrial applications. A key contribution is his development of 3D visual tracking systems for articulated robots, addressing the critical challenge of balancing high detection accuracy with real-time processing speed in precision automated tasks—work that has garnered 9 citations. Longstaff has also proposed a novel, lightweight robotic arm design using carbon fiber composites to mitigate thermal, vibration, and energy issues, enhancing dynamic stiffness and sustainability. Additionally, his assessment of positioning accuracy in small articulated robots during machining operations provides foundational insights for improving robotic precision in manufacturing. With a growing citation impact, Longstaff’s research is shaping the future of efficient, accurate, and environmentally conscious robotics, offering practical solutions for industries ranging from automated assembly to precision machining.

Research Focus

Key Achievements

2
H-Index
3
Papers
14
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
3D Visual Tracking of an Articulated Robot in Precision Automated Tasks
9 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Huddersfield

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago